Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Researcher

Tom Lefebvre

18 Results

2021

On Moment Estimation From Polynomial Chaos Expansion Models

U Journal Article in IEEE Control Systems Letters

Overload clutch design for collision tolerant high-speed industrial robots

Frederik OstynTom LefebvreBram VanderborghtGuillaume Crevecoeur

Overload clutch design for collision tolerant high–speed industrial robots

Frederik OstynTom LefebvreBram VanderborghtGuillaume Crevecoeur

A1 Journal Article in IEEE ROBOTICS AND AUTOMATION LETTERS

2020

A framework for robust quadratic optimal control with parametric dynamic model uncertainty using polynomial chaos

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

A1 Journal Article in OPTIMAL CONTROL APPLICATIONS & METHODS

Inverse parametric uncertainty identification using polynomial chaos and high-order moment matching benchmarked on a wet friction clutch

Wannes De GrooteTom LefebvreGeorges TodNele De GeeterBruno DepraetereSuzanne Van PoppelGuillaume Crevecoeur

A1 Journal Article in MECHATRONICS

On entropy regularized Path Integral Control for trajectory optimization

Tom LefebvreGuillaume Crevecoeur

A1 Journal Article in ENTROPY

Towards accelerated robotic deployment by supervised learning of latent space observer and policy from simulated experiments with expert policies

Olivier AlgoetTom LefebvreGuillaume Crevecoeur

2019

Adaptive approximate dynamic optimization : a slider-crank case study

Tom LefebvreFrederik De BelieFrank NaetsGuillaume Crevecoeur

Approximate numerical solution strategies for dynamic optimization and optimal control problems

Tom LefebvreGuillaume CrevecoeurFrederik De Belie

Inverse stochastic quadcopter trajectory generation using flat inverse dynamics and polynomial chaos uncertainty propagation

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

Parametric uncertainty quantification using polynomial chaos expansions applied to a wet friction clutch model

Georges TodWannes De GrooteTom LefebvreNele De GeeterBruno DepraetereGuillaume Crevecoeur

A2 Journal Article in INTERNATIONAL JOURNAL OF MODELING AND OPTIMIZATION

Path integral policy improvement with differential dynamic programming

Tom LefebvreGuillaume Crevecoeur

2018

A trajectory-based sampling strategy for sequentially refined metamodel management of metamodel-based dynamic optimization in mechatronics

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

A1 Journal Article in OPTIMAL CONTROL APPLICATIONS & METHODS

Model-based feedforward targeting of magnetic microparticles in fluids using dynamic optimization

Rikkert Van DurmeAnnelies CoeneTom LefebvreLuc DupréGuillaume Crevecoeur

Polynomial chaos reformulation in nonlinear stochastic optimal control with application on a drivetrain subject to bifurcation phenomena

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

2017

Polynomial chaos explicit solution of the optimal control problem in model predictive control

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

Towards Accelerated Optimal Control with Black-Box System Simulators using an Adaptive Surrogate Model Refinement Trust Region Management Framework

Tom LefebvreFrederik De BelieGuillaume Crevecoeur

2016

Optimizing state trajectories using surrogate models with application on a mechatronic example

Tom LefebvreFrederik De BelieGuillaume Crevecoeur